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International Journal of Prognostics and Health Management

2020: Vol 11

Issues: [Issue 1]

Technical Papers

Predictive maintenance of lead-acid batteries with sparse vehicle operational data
Sergii Voronov, Mattias Krysander, Erik Frisk
International Journal of Prognostics and Health Management: Vol 11 (1) 008, 17, 2020
abstract
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Enhancing Decisions in Prognostics and Health Management Framework
Omar Bougacha, Christophe Varnier, Noureddine Zerhouni
International Journal of Prognostics and Health Management: Vol 11 (1) 007, 19, 2020
abstract
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Fatigue Crack Length Estimation and Prediction using Trans-fitting with Support Vector Regression
Myeongbaek Youn, Yunhan Kim, Dongki Lee, Minki Cho, Byeng D. Youn
International Journal of Prognostics and Health Management: Vol 11 (1) 006, 14, 2020
abstract
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A Hybrid Approach of Data-driven and Physics-based Methods for Estimation and Prediction of Fatigue Crack Growth
Hyeon Bae Kong, Soo-Ho Jo, Joon Ha Jung, Jong M. Ha, Yong Chang Shin, Heonjun Yoon, Kyung Ho Sun, Yun-Ho Seo, Byung Chul Jeon
International Journal of Prognostics and Health Management: Vol 11 (1) 005, 12, 2020
abstract
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Fatigue Damage Monitoring for Mining Vehicles using Data Driven Models
Erik Jakobsson, Robert Pettersson, Erik Frisk, Mattias Krysander
International Journal of Prognostics and Health Management: Vol 11 (1) 004, 15, 2020
abstract
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A Physics-informed Neural Network for Wind Turbine Main Bearing Fatigue
Yigit A. Yucesan, Felipe A. C. Viana
International Journal of Prognostics and Health Management: Vol 11 (1) 003, 17, 2020
abstract
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Scalable Change Analysis and Representation Using Characteristic Function
Takaaki Tagawa, Yukihiro Tadokoro, Takehisa Yairi
International Journal of Prognostics and Health Management: Vol 11 (1) 002, 13, 2020
abstract
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Development of data-driven PHM solutions for robot hemming in automotive production lines
Luca Actis Grosso, Andrea De Martin, Giovanni Jacazio, Massimo Sorli
International Journal of Prognostics and Health Management: Vol 11 (1) 001, 13, 2020
abstract
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